TY - JOUR
T1 - β-Sheet Richness of the Circulating Tumor-Derived Extracellular Vesicles for Noninvasive Pancreatic Cancer Screening
AU - Rasuleva, Komila
AU - Elamurugan, Santhalingam
AU - Bauer, Aaron
AU - Khan, Mdrakibhasan
AU - Wen, Qian
AU - Li, Zhaofan
AU - Steen, Preston
AU - Guo, Ang
AU - Xia, Wenjie
AU - Mathew, Sijo
AU - Jansen, Rick
AU - Sun, Dali
N1 - Publisher Copyright:
© 2021 The Authors. Published by American Chemical Society.
PY - 2021/12/24
Y1 - 2021/12/24
N2 - Tumor-derived extracellular vesicles (EVs) are under intensive study for their potential as noninvasive diagnosis biomarkers. Most EV-based cancer diagnostic assays trace supernumerary of a single cancer-associated marker or marker signatures. These types of biomarker assays are either subtype-specific or vulnerable to be masked by high background signals. In this study, we introduce using the β-sheet richness (BR) of the tumor-derived EVs as an effective way to discriminate EVs originating from malignant and nonmalignant cells, where EV contents are evaluated as a collective attribute rather than single factors. Circular dichroism, Fourier transform infrared spectroscopy, fluorescence staining assays, and a de novo workflow combining proteomics, bioinformatics, and protein folding simulations were employed to validate the collective attribute at both cellular and EV levels. Based on the BR of the tumorous EVs, we integrated immunoprecipitation and fluorescence labeling targeting the circulating tumor-derived EVs in serum and developed the process into a clinical assay, named EvIPThT. The assay can distinguish patients with and without malignant disease in a pilot cohort, with weak correlations to prognosis biomarkers, suggesting the potential for a cancer screening panel with existing prognostic biomarkers to improve overall performance.
AB - Tumor-derived extracellular vesicles (EVs) are under intensive study for their potential as noninvasive diagnosis biomarkers. Most EV-based cancer diagnostic assays trace supernumerary of a single cancer-associated marker or marker signatures. These types of biomarker assays are either subtype-specific or vulnerable to be masked by high background signals. In this study, we introduce using the β-sheet richness (BR) of the tumor-derived EVs as an effective way to discriminate EVs originating from malignant and nonmalignant cells, where EV contents are evaluated as a collective attribute rather than single factors. Circular dichroism, Fourier transform infrared spectroscopy, fluorescence staining assays, and a de novo workflow combining proteomics, bioinformatics, and protein folding simulations were employed to validate the collective attribute at both cellular and EV levels. Based on the BR of the tumorous EVs, we integrated immunoprecipitation and fluorescence labeling targeting the circulating tumor-derived EVs in serum and developed the process into a clinical assay, named EvIPThT. The assay can distinguish patients with and without malignant disease in a pilot cohort, with weak correlations to prognosis biomarkers, suggesting the potential for a cancer screening panel with existing prognostic biomarkers to improve overall performance.
KW - PDAC
KW - collective attribute
KW - extracellular vesicles
KW - protein structure
KW - β-sheet
UR - http://www.scopus.com/inward/record.url?scp=85120901613&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85120901613&partnerID=8YFLogxK
U2 - 10.1021/acssensors.1c02022
DO - 10.1021/acssensors.1c02022
M3 - Article
C2 - 34846848
AN - SCOPUS:85120901613
SN - 2379-3694
VL - 6
SP - 4489
EP - 4498
JO - ACS Sensors
JF - ACS Sensors
IS - 12
ER -